PSYCH  Vol.2 No.2 , April 2011
Study on Psychological Crisis Evaluation CombiningFactor Analysis and Neural Networks
ABSTRACT
Effective and rapid psychological crisis evaluation under emergency is the basis to carry out psychological crisis intervention. In this paper, based on existing research, an index system to evaluate the state of psychological cri-sis is established and the index system is simplified by the model combining factor analysis and neural networks. Experiments illustrate that the training times, training time and maximum error of the combination model are 1445, 20.476 (s), 0.0011 respectively while the general neural networks are 5581, 115.610 (s), 0.0090 with 92 samples and the final diagnosis by the combination model are also exact.

Cite this paper
nullLi, H. , Zhang, Y. , Tong, H. , Tong, Q. & Liu, D. (2011). Study on Psychological Crisis Evaluation CombiningFactor Analysis and Neural Networks. Psychology, 2, 138-142. doi: 10.4236/psych.2011.22022.
References
[1]   Brende, J. O. (1998). Coping with floods: evaluation, intervention, and recovery processes for survivors and helpers. Journal of Contemporary Psychotherapy, 28, 107-139. doi:10.1023/A:1022959214521

[2]   Chen S. L., & Li L. J. (2003). Re-testing reliability, validity and norm applicability of SCL-90. Chinese journal of Nervous and Mental Diseases, 29, 323-327.

[3]   Field, A. P. (2005). Discovering statistics using SPSS (2nd ed.). London: Sage Publication.

[4]   Gaplan, G. (1964). The principles of preventive Psychiatry. New York: Basic Books.

[5]   Holi, M. (2003). Evaluation of psychiatric symptoms using the SCL-90. Academic Dissertation, Helsinki: Department of Psychiatry Helsinki University Finland.

[6]   Hutcheson G., & Sofroniou N. (1999). The multivariate social scientist: introductory statistics using generalized linear models. London: Sage Publication.

[7]   Myer, R. A., Williams, R. C. Ottens, A. .J., & Schmidt, A. E. (1992a). Crisis evaluation: A three-dimensional model for triage. Journal of Mental Health Counseling, 14, 137-148.

[8]   Rafael, M., & Abdellah, E. F. (2004). Multilayer neural networks: An experimental evaluation of on-line training methods. Computers and Operations Research, 31, 1491-1513. doi:10.1016/S0305-0548(03)00104-7

[9]   Wilson, J. P. (1999). Theoretical perspectives of traumatic stress and debriefings. International Journal of Emergency Mental health, 1, 1999, 267-73.

 
 
Top